MRI-based Biological Age Estimation for Multiple Organs in the UK Biobank Cohort
Motivation: MRI is a valuable tool for providing health-related information, including visualizing age-associated changes. Aging is influenced by chronic diseases, and assessing the true organ-specific biological age is essential for accurate diagnosis. Goal(s): Development of an organ-specific age estimation for investigation in large imaging cohort with associated non-imaging information. Approach: While prior studies focused on age estimation from non-imaging data or single organs, we propose a multi-organ age estimation framework, operating on brain, cardiac, and abdominal MRIs, and OCT scans. Results: Our results prove the feasibility of imaging-based organ age estimation and initiate further investigations to identify risk factors for accelerated aging. Impact: Reliable imaging-based estimation of biological age in multiple organ systems facilitates research efforts to identify risk factors of accelerated aging, advancing the goal of age-related phenotyping.
Authors
- Marcel Früh
- Thomas Küstner (ORCID: https://orcid.org/0000-0002-0353-4898)
- Veronika Ecker (ORCID: https://orcid.org/0000-0001-6477-0715)
- Sergios Gatidis (ORCID: https://orcid.org/0000-0002-6928-4967)
- Bin Yang (ORCID: https://orcid.org/0000-0002-8322-117X)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1401
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00